Triple
T17737945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villeurbannais |
E442772
|
entity |
| Predicate | hasCoordinateTerm |
P84262
|
FINISHED |
| Object |
Grenoblois
Grenoblois is the French demonym for inhabitants of the city of Grenoble in southeastern France.
|
E1284922
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Grenoblois | Statement: [Villeurbannais, hasCoordinateTerm, Grenoblois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grenoblois Context triple: [Villeurbannais, hasCoordinateTerm, Grenoblois]
-
A.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
B.
Dolomieucoises
Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
-
C.
Lyonnais
Lyonnais is a historical region in east-central France centered around the city of Lyon, known for its rich cultural heritage, gastronomy, and role as a major economic hub.
-
D.
Fuissé
Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
-
E.
Orcétoises
Orcétoises are the female inhabitants or natives of the French commune of Orcet in the Puy-de-Dôme department.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grenoblois Triple: [Villeurbannais, hasCoordinateTerm, Grenoblois]
Generated description
Grenoblois is the French demonym for inhabitants of the city of Grenoble in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grenoblois Target entity description: Grenoblois is the French demonym for inhabitants of the city of Grenoble in southeastern France.
-
A.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
B.
Dolomieucoises
Dolomieucoises are the female inhabitants or natives of the French commune of Dolomieu in the Isère department.
-
C.
Lyonnais
Lyonnais is a historical region in east-central France centered around the city of Lyon, known for its rich cultural heritage, gastronomy, and role as a major economic hub.
-
D.
Fuissé
Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
-
E.
Orcétoises
Orcétoises are the female inhabitants or natives of the French commune of Orcet in the Puy-de-Dôme department.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47aca27448190943c75e723ceefcc |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242fb5e7c819096b611fe936f4ce0 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a0244f53f2c81909ee3dc16ff3e512e |
completed | May 11, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02459d9ab48190b8b28b75f412c64e |
completed | May 11, 2026, 9:09 p.m. |
Created at: April 10, 2026, 10:09 a.m.